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Leveraging an Efficient and Semantic Location Embedding to Seek New
  Ports of Bike Share Services

Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services

6 November 2020
Yuan Wang
Chenwei Wang
Yinan Ling
Keita Yokoyama
Hsin-Tai Wu
Yi Fang
ArXivPDFHTML

Papers citing "Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services"

12 / 12 papers shown
Title
Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal
  Urban Neighborhood Embedding
Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding
Zhecheng Wang
Haoyuan Li
Ram Rajagopal
44
81
0
29 Jan 2020
An unsupervised approach to Geographical Knowledge Discovery using
  street level and street network images
An unsupervised approach to Geographical Knowledge Discovery using street level and street network images
Stephen Law
Mateo Neira
SSL
18
16
0
18 Jun 2019
Tile2Vec: Unsupervised representation learning for spatially distributed
  data
Tile2Vec: Unsupervised representation learning for spatially distributed data
Neal Jean
Sherrie Wang
Anshul Samar
G. Azzari
David B. Lobell
Stefano Ermon
SSL
55
197
0
08 May 2018
ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple
  Face Attributes
ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes
Taihong Xiao
Jiapeng Hong
Jinwen Ma
CVBM
44
200
0
28 Mar 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
113
9,312
0
09 Feb 2018
Self-Normalizing Neural Networks
Self-Normalizing Neural Networks
Günter Klambauer
Thomas Unterthiner
Andreas Mayr
Sepp Hochreiter
233
2,496
0
08 Jun 2017
In Defense of the Triplet Loss for Person Re-Identification
In Defense of the Triplet Loss for Person Re-Identification
Alexander Hermans
Lucas Beyer
Bastian Leibe
DML
54
3,192
0
22 Mar 2017
Analysis and Optimization of Loss Functions for Multiclass, Top-k, and
  Multilabel Classification
Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification
Maksim Lapin
Matthias Hein
Bernt Schiele
57
102
0
12 Dec 2016
Deep Feature Interpolation for Image Content Changes
Deep Feature Interpolation for Image Content Changes
P. Upchurch
Jacob V. Gardner
Geoff Pleiss
Robert Pless
Noah Snavely
Kavita Bala
Kilian Q. Weinberger
56
306
0
16 Nov 2016
Deep Manifold Traversal: Changing Labels with Convolutional Features
Deep Manifold Traversal: Changing Labels with Convolutional Features
Jacob R. Gardner
P. Upchurch
Matt J. Kusner
Yixuan Li
Kilian Q. Weinberger
Kavita Bala
John E. Hopcroft
52
66
0
19 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
757
15,718
0
02 Nov 2015
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
296
33,445
0
16 Oct 2013
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